OX Security Launches Cloud Platform With Live AI Agent Monitoring

OX Security adds runtime AI monitoring to cloud security platform

OX Security has launched OX Cloud, a cloud-native application protection platform that extends traditional posture management with real-time monitoring of AI agents and non-human identities operating in production environments.

The platform, announced September 16, combines standard CNAPP capabilities—cloud security posture management (CSPM), Kubernetes security (KSPM), and data security posture management (DSPM)—with what the company calls AI Detection and Response (AIDR). That addition is designed to track autonomous agents, model access patterns, and Model Context Protocol servers as they execute, rather than treating AI components as static assets in an inventory.

According to OX Security, most cloud security tools scan configurations periodically but miss dynamic behavior from agents that make decisions and call tools without explicit human authorization. The company positions OX Cloud as built for environments where agents act independently at machine speed.

How reachability filtering reduces alert volume

A core technical differentiation is reachability analysis. OX Cloud uses runtime inspection to determine which misconfigurations, vulnerabilities, and supply chain exposures can actually be reached by running workloads or agents. Findings that nothing can access are filtered out before they reach security teams.

The platform maintains a continuous inventory of workloads, identities, data stores, and Kubernetes clusters, then layers runtime event data and attack path mapping on top. When an alert fires, teams see graph-based evidence showing what acted, what it touched, and what else it could reach—not just a finding score.

OX Security describes this as shifting from detecting exploitable paths after deployment to validating they were never created. The company frames OX Cloud as the runtime pillar of its broader AI Native Application Protection Platform (AINAPP), which spans from prompt engineering through production.

Why it matters

As organizations deploy more autonomous agents with broad permissions, the gap between what's configured and what's actually running widens. Traditional CNAPPs inventory AI assets but don't tie agent runtime behavior to the code or prompt that created it. OX Cloud's approach—filtering by reachability and monitoring non-human identity activity in real time—addresses a visibility problem that scan-based tools weren't architected to solve. For security teams managing environments where agents operate independently, knowing what's reachable and what's actively executing becomes more urgent than knowing what's merely present.

Targeting shadow AI and service account sprawl

The platform is designed to surface shadow AI—models, agents, and MCP servers running without security approval—and non-human identities that accumulate over time with unclear ownership and excessive permissions. OX Security notes that service accounts and API keys often hold access long after anyone remembers why they were granted, creating risk at machine speed.

OX Cloud includes runtime vulnerability identification, cloud graph visualization for lateral movement analysis, and compliance monitoring across cloud accounts. The company offers a demo for organizations evaluating the platform.

Details were first reported by OX Security in a company blog post.